Property-based testing is a versatile and powerful technique that automates the generation of test cases by describing the desired properties of the code, rather than specific scenarios. The article highlights the application of property-based testing using the Golang programming language, particularly with the csvquote program, which facilitates handling of CSV files by replacing problematic characters. It introduces the concept of using property-based testing to ensure that substituting and restoring CSV content results in the original output, thus forming an identity. The go std-lib’s testing/quick library aids in this approach by running numerous test iterations with random inputs. While this testing style can uncover hidden issues, it also presents challenges in identifying applicable properties and writing effective generators. The article suggests focusing on specific problem domains, such as serialization verification and optimization validation, to make the most out of property-based testing. It also encourages exploring additional resources, such as the Gopter library in Golang, to further enhance testing capabilities.